Class/Object

com.microsoft.ml.spark

ImageLIME

Related Docs: object ImageLIME | package spark

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class ImageLIME extends Transformer with HasInputCol with HasOutputCol with HasLabelCol with Wrappable with ComplexParamsWritable with HasModifier with HasCellSize

Distributed implementation of Local Interpretable Model-Agnostic Explanations (LIME)

https://arxiv.org/pdf/1602.04938v1.pdf

Linear Supertypes
HasCellSize, HasModifier, ComplexParamsWritable, MLWritable, HasLabelCol, HasOutputCol, HasInputCol, Wrappable, Transformer, PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. ImageLIME
  2. HasCellSize
  3. HasModifier
  4. ComplexParamsWritable
  5. MLWritable
  6. HasLabelCol
  7. HasOutputCol
  8. HasInputCol
  9. Wrappable
  10. Transformer
  11. PipelineStage
  12. Logging
  13. Params
  14. Serializable
  15. Serializable
  16. Identifiable
  17. AnyRef
  18. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ImageLIME()

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  2. new ImageLIME(uid: String)

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T

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    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  6. val cellSize: DoubleParam

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    Definition Classes
    HasCellSize
  7. final def clear(param: Param[_]): ImageLIME.this.type

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    Definition Classes
    Params
  8. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  9. def copy(extra: ParamMap): Transformer

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    Definition Classes
    ImageLIME → Transformer → PipelineStage → Params
  10. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  11. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  12. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  13. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  14. def explainParam(param: Param[_]): String

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    Definition Classes
    Params
  15. def explainParams(): String

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    Definition Classes
    Params
  16. final def extractParamMap(): ParamMap

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    Definition Classes
    Params
  17. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params
  18. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  19. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  20. def getCellSize: Double

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    Definition Classes
    HasCellSize
  21. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  22. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  23. def getInputCol: String

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    Definition Classes
    HasInputCol
  24. def getLabelCol: String

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    Definition Classes
    HasLabelCol
  25. def getLocalModelPartitions: Int

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  26. def getModel: Transformer

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  27. def getModelPartitions: Int

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  28. def getModifier: Double

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    Definition Classes
    HasModifier
  29. def getNSamples: Int

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  30. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params
  31. def getOutputCol: String

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    Definition Classes
    HasOutputCol
  32. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  33. def getSamplingFraction: Double

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  34. def getSuperpixelCol: String

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  35. final def hasDefault[T](param: Param[T]): Boolean

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    Definition Classes
    Params
  36. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params
  37. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  38. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  39. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  40. val inputCol: Param[String]

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    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol
  41. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params
  42. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  43. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params
  44. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  45. val labelCol: Param[String]

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    The name of the label column

    The name of the label column

    Definition Classes
    HasLabelCol
  46. val localModelPartitions: IntParam

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  47. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  48. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  49. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  50. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  51. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  52. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  53. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  54. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging
  55. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  56. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  57. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  58. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  59. val model: TransformerParam

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  60. val modelPartitions: IntParam

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  61. val modifier: DoubleParam

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    Definition Classes
    HasModifier
  62. val nSamples: IntParam

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  63. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  64. final def notify(): Unit

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    Definition Classes
    AnyRef
  65. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  66. val outputCol: Param[String]

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    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  67. lazy val params: Array[Param[_]]

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    Definition Classes
    Params
  68. val samplingFraction: DoubleParam

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  69. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  70. final def set(paramPair: ParamPair[_]): ImageLIME.this.type

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    Attributes
    protected
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    Params
  71. final def set(param: String, value: Any): ImageLIME.this.type

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    Attributes
    protected
    Definition Classes
    Params
  72. final def set[T](param: Param[T], value: T): ImageLIME.this.type

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    Definition Classes
    Params
  73. def setCellSize(v: Double): ImageLIME.this.type

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    Definition Classes
    HasCellSize
  74. final def setDefault(paramPairs: ParamPair[_]*): ImageLIME.this.type

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    Attributes
    protected
    Definition Classes
    Params
  75. final def setDefault[T](param: Param[T], value: T): ImageLIME.this.type

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    Attributes
    protected
    Definition Classes
    Params
  76. def setInputCol(value: String): ImageLIME.this.type

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    Definition Classes
    HasInputCol
  77. def setLabelCol(value: String): ImageLIME.this.type

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    Definition Classes
    HasLabelCol
  78. def setLocalModelPartitions(v: Int): ImageLIME.this.type

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  79. def setModel(v: Transformer): ImageLIME.this.type

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  80. def setModelPartitions(v: Int): ImageLIME.this.type

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  81. def setModifier(v: Double): ImageLIME.this.type

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    Definition Classes
    HasModifier
  82. def setNSamples(v: Int): ImageLIME.this.type

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  83. def setOutputCol(value: String): ImageLIME.this.type

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    Definition Classes
    HasOutputCol
  84. def setSamplingFraction(d: Double): ImageLIME.this.type

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  85. def setSuperpixelCol(v: String): ImageLIME.this.type

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  86. val superpixelCol: Param[String]

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  87. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  88. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  89. def transform(dataset: Dataset[_]): DataFrame

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    Definition Classes
    ImageLIME → Transformer
  90. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  91. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  92. def transformSchema(schema: StructType): StructType

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    Definition Classes
    ImageLIME → PipelineStage
  93. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  94. val uid: String

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    Definition Classes
    ImageLIME → Identifiable
  95. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  96. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  97. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  98. def write: MLWriter

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    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from HasCellSize

Inherited from HasModifier

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from HasLabelCol

Inherited from HasOutputCol

Inherited from HasInputCol

Inherited from Wrappable

Inherited from Transformer

Inherited from PipelineStage

Inherited from org.apache.spark.internal.Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Parameters

A list of parameter keys this algorithm can take. Users can set and get the parameter values through setters and getters

Parameter setters

Parameter getters

Members